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Geospatial Data Scientist Jobs (NOW HIRING)

GeoYeti

Expert Data Scientist

Augusta, GA · On-site

Integrate geographic and geospatial scientific principles into model design and analysis * Deliver ... Proficiency in data science techniques: logistic regression, vector analysis, NLP, PCA, clustering ...

GeoYeti

Expert Data Scientist

Augusta, GA · On-site

Integrate geographic and geospatial scientific principles into model design and analysis * Deliver ... Proficiency in data science techniques: logistic regression, vector analysis, NLP, PCA, clustering ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73.45K - $132.78K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... Experience working with geospatial data in multiuser enterprise environment. * Minimum 2 years of ...

GeoYeti

Expert Data Scientist

Augusta, GA

Expert Data Scientist Augusta, GA Active TS/SCI At Bcore, our strength comes from how we deliver ... Integrate geographic and geospatial scientific principles into model design and analysis * Deliver ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73.45K - $132.78K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... Experience working with geospatial data in multiuser enterprise environment. * Minimum 2 years of ...

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How much do geospatial data scientist jobs pay per year?

As of Jun 1, 2026, the average yearly pay for geospatial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Geospatial Data Scientist job?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What are the key skills and qualifications needed to thrive in the Geospatial Data Scientist position, and why are they important?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

What are the typical daily tasks of a Geospatial Data Scientist?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.
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What cities are hiring for Geospatial Data Scientist jobs? Cities with the most Geospatial Data Scientist job openings:
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Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Geospatial Data Analyst

Dewberry Engineers Incorporated

Fairfax, VA

Other

Posted 5 hours ago

Job description


Geospatial Data Analyst
Job ID
15604
# of Openings
10
Job Location
US | US-VA-Fairfax
Category
Geography/GIS
Relocation Assistance
No
Service Line
MCS
Job Description

Dewberry is currently seeking a Geospatial Data Analyst to join our cadre of skilled professional and technical staff in an on-call capacity to national disaster response across the United States. Work assignments involve being called to support disaster recovery work for a period of 6-12 months. You will collaborate with some of the best and brightest in the industry and use your expertise to support critical recovery efforts in disaster-impacted communities.This is an excellent opportunity for those who want to use their knowledge, skills and abilities to help disaster survivors at disaster recovery operation work sites throughout the United States and its territories.

Dewberry's Geospatial and Technology Services creates geospatial and analytical solutions for real-world engineering, environmental, and community problems. Our analysts perform a variety of data services for our clients including data management, governance, analysis, transformation, automation, and visualization.

*Please note, remote work is not permitted for this role. This is a nonfulltime, deploymentbased on-call position across the United States. Team members are deployed to various sites as needed and may travel frequently. While the role requires physical presence at various locations, it is not tied to a single office or fixed worksite.

Dewberry is a leading, market-facing professional services firm with more than 50 locations and 2,000 professionals nationwide. What sets us apart from our competitors are our people. At Dewberry, we seek out exceptional talent and strive to deliver the highest quality of services to our clients. Whether you're an experienced professional or a new graduate, you'll have the chance to collaborate with the best and brightest and work on innovative and complex projects at the forefront of the industry. Our commitment to excellence stems from our personal integrity and from other defining attributes, which we call "Dewberry at Work," that have inspired our employees to be successful for more than a half-century.

Responsibilities

Candidates will have strong competencies and demonstrated experience developing data management, analysis, and visualization solutions with an emphasis on business analytics. Work assignments will be varied to include:

* Work on consulting projects for government and commercial clients.

* Support large scale geospatial analytical modeling efforts to identify hazards, assess risk, and evaluate risk reduction methods.

* Apply statistical, numerical and/or computer application techniques.

* Develop web, mobile, and desktop applications.

* Participate in testing, supporting and deploying tools and preparing technical documentation.

Required Skills & Required Experience

* Bachelor's degree in computer science, business, GIS or other relevant geospatial or data science related field.

* At least 3 years' experience working with data management and analysis applications

* Intermediate to advanced skills in Microsoft Excel, Power BI, Power Apps, Power Automate, SharePoint, ArcGIS Pro, ArcGIS Online, Survey123 and other related software.

* Excellent problem-solving, verbal and written communication, design development, and debugging skills.

* Ability to work independently using strong organizational skills and operate effectively in team settings using an agile software development approach.

* Maintain and support application(s) according to changing business/mission requirements.

Must have a valid driver's license, good driving record and ability to pass a driving record background check.

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